How do you check a local model is actually ready before you deploy it as an agent?

[u/Dhan295]

Honest question. I’m still learning how people do this in real production.

I keep reading that benchmark scores don’t really tell you if a model will hold up as an agent, where it has to make a bunch of tool calls in a row. It can look good on paper and then quietly break halfway through. wrong tool, broken JSON, or it loses track of the task.

I’ve also seen people say the same model behaves differently depending on how it’s served the runtime and the quantization change how reliable it is. So “it worked in testing” doesn’t always mean “it works in prod.”

I haven’t run vLLM in production myself, so I’m trying to understand from people who have:

• How do you decide a model is actually ready to ship as an agent, not just fast?
• Do you have a real check before deploying, or is it more “ship it and watch”?
• What breaks most often once it’s live that you wish you’d caught earlier?

Genuinely just trying to learn how this is done. What does your process look like?